:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autore principale:	Kabir, H M Dipu
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	https://arxiv.org/abs/2305.03238
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Batch Augmentation with Unimodal Fine-tuning for Multimodal Learning
di: Kabir, H M Dipu, et al.
Pubblicazione: (2025)

WoundFormer: Multi-Scale Spatial Feature Fusion for Multi-Class Wound Tissue Segmentation
di: Kabir, Muhammad Ashad, et al.
Pubblicazione: (2026)

Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification
di: Islam, Rafiul, et al.
Pubblicazione: (2025)

Mitigating Background Shift in Class-Incremental Semantic Segmentation
di: Park, Gilhan, et al.
Pubblicazione: (2024)

SpinalNet: Deep Neural Network with Gradual Input
di: Kabir, H M Dipu, et al.
Pubblicazione: (2020)

DOEI: Dual Optimization of Embedding Information for Attention-Enhanced Class Activation Maps
di: Zhu, Hongjie, et al.
Pubblicazione: (2025)

Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation
di: Shan, Lianlei, et al.
Pubblicazione: (2024)

Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation
di: Zhang, Anqi, et al.
Pubblicazione: (2024)

Background Noise Reduction of Attention Map for Weakly Supervised Semantic Segmentation
di: Fujimori, Izumi, et al.
Pubblicazione: (2024)

Class Uncertainty: A Measure to Mitigate Class Imbalance
di: Baltaci, Z. S., et al.
Pubblicazione: (2023)

Breaking the Geometric Bottleneck: Contrastive Expansion in Asymmetric Cross-Modal Distillation
di: Thayani, Kabir
Pubblicazione: (2026)

Localized Region Guidance for Class Activation Mapping in WSSS
di: Torabi, Ali, et al.
Pubblicazione: (2025)

Multi-view Feature Augmentation with Adaptive Class Activation Mapping
di: Gao, Xiang, et al.
Pubblicazione: (2022)

Intra-Class Probabilistic Embeddings for Uncertainty Estimation in Vision-Language Models
di: Lin, Zhenxiang, et al.
Pubblicazione: (2025)

From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental Learning for Limited Biomedical Samples via Semantic Expansion
di: Yao, Yifei, et al.
Pubblicazione: (2024)

Metric-Guided Synthesis of Class Activation Mapping
di: Luque-Cerpa, Alejandro, et al.
Pubblicazione: (2025)

CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation
di: Wang, Jun, et al.
Pubblicazione: (2022)

False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates
di: Maag, Kira
Pubblicazione: (2021)

Only Train Once: Uncertainty-Aware One-Class Learning for Face Authenticity Detection
di: Jiang, Qingchao, et al.
Pubblicazione: (2026)

TTE-CAM: Self-Explainable Class Activation Maps for Pretrained Black-Box CNNs
di: Djoumessi, Kerol, et al.
Pubblicazione: (2026)

Class Visualizations and Activation Atlases for Enhancing Interpretability in Deep Learning-Based Computational Pathology
di: Gustav, Marco, et al.
Pubblicazione: (2026)

PixelCAM: Pixel Class Activation Mapping for Histology Image Classification and ROI Localization
di: Guichemerre, Alexis, et al.
Pubblicazione: (2025)

Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation
di: Almeida, Luís, et al.
Pubblicazione: (2024)

Drainage: A Unifying Framework for Addressing Class Uncertainty
di: Taha, Yasser, et al.
Pubblicazione: (2025)

ObjectTransforms for Uncertainty Quantification and Reduction in Vision-Based Perception for Autonomous Vehicles
di: Sahu, Nishad, et al.
Pubblicazione: (2025)

Fusion-CAM: Integrating Gradient and Region-Based Class Activation Maps for Robust Visual Explanations
di: Dekdegue, Hajar, et al.
Pubblicazione: (2026)

Benchmarking Class Activation Map Methods for Explainable Brain Hemorrhage Classification on Hemorica Dataset
di: Rafati, Z., et al.
Pubblicazione: (2025)

CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos
di: Belharbi, Soufiane, et al.
Pubblicazione: (2023)

Region-CAM: Towards Accurate Object Regions in Class Activation Maps for Weakly Supervised Learning Tasks
di: Cai, Qingdong, et al.
Pubblicazione: (2025)

HARMONY: Hidden Activation Representations and Model Output-Aware Uncertainty Estimation for Vision-Language Models
di: Mushtaq, Erum, et al.
Pubblicazione: (2025)

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning
di: Dulal, Rabin, et al.
Pubblicazione: (2025)

Optimized Custom CNN for Real-Time Tomato Leaf Disease Detection
di: Oni, Mangsura Kabir, et al.
Pubblicazione: (2025)

Focus on Background: Exploring SAM's Potential in Few-shot Medical Image Segmentation with Background-centric Prompting
di: Bo, Yuntian, et al.
Pubblicazione: (2026)

Unsupervised Out-of-Distribution Detection in Medical Imaging Using Multi-Exit Class Activation Maps and Feature Masking
di: Chen, Yu-Jen, et al.
Pubblicazione: (2025)

BEM: Training-Free Background Embedding Memory for False-Positive Suppression in Real-Time Fixed-Background Camera
di: Park, Junwoo, et al.
Pubblicazione: (2026)

Performance Analysis of Few-Shot Learning Approaches for Bangla Handwritten Character and Digit Recognition
di: Ahamed, Mehedi, et al.
Pubblicazione: (2025)

Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction
di: Hu, Jin, et al.
Pubblicazione: (2025)

CLFSeg: A Fuzzy-Logic based Solution for Boundary Clarity and Uncertainty Reduction in Medical Image Segmentation
di: Kaushal, Anshul, et al.
Pubblicazione: (2025)

SE-BSFV: Online Subspace Learning based Shadow Enhancement and Background Suppression for ViSAR under Complex Background
di: Yan, Shangqu, et al.
Pubblicazione: (2025)

When Language Model Guides Vision: Grounding DINO for Cattle Muzzle Detection
di: Dulal, Rabin, et al.
Pubblicazione: (2025)